Apple is seeking a Machine Learning Engineer to join their Energy Tech organization, which builds ... systems, battery management, or energy optimization • Familiarity with embedded or resource ...
Apple is seeking a Machine Learning Engineer to join their Energy Tech organization, which builds ... systems, battery management, or energy optimization • Familiarity with embedded or resource ...
Machine Learning Engineer - On-device Control and Optimization, Core OS
$139.50K - $258.10K/yr
We're looking for a Machine Learning Engineer who can work across the full stack: analyzing field ... systems, battery management, or energy optimization Familiarity with embedded or resource ...
Machine Learning Engineer - On-device Control and Optimization, Core OS
$139.50K - $258.10K/yr
We're looking for a Machine Learning Engineer who can work across the full stack: analyzing field ... systems, battery management, or energy optimization Familiarity with embedded or resource ...
Battery Design Responsibilities: * Mechanical engineering and packaging for lightweight, swappable ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...
Battery Design Responsibilities: * Mechanical engineering and packaging for lightweight, swappable ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...
Mechanical Design Engineer: Battery Design
Redmond, WA · On-site
$173K - $245K/yr
... system software, machine perception, and artificial intelligence. These crucial projects and ... This team is dedicated to building hardware that enables learning through data collection and ...
Mechanical Design Engineer: Battery Design
Redmond, WA · On-site
$173K - $245K/yr
... system software, machine perception, and artificial intelligence. These crucial projects and ... This team is dedicated to building hardware that enables learning through data collection and ...
You will bridge the gap between Geospatial Intelligence and Machine Learning to revolutionize our ... Drive the development of high-scale scheduling systems that manage battery life, maintenance cycles ...
You will bridge the gap between Geospatial Intelligence and Machine Learning to revolutionize our ... Drive the development of high-scale scheduling systems that manage battery life, maintenance cycles ...
You will bridge the gap between Geospatial Intelligence and Machine Learning to revolutionize our ... Drive the development of high-scale scheduling systems that manage battery life, maintenance cycles ...
You will bridge the gap between Geospatial Intelligence and Machine Learning to revolutionize our ... Drive the development of high-scale scheduling systems that manage battery life, maintenance cycles ...
Solid understanding of common manufacturing processes and machines including mills, lathes ... History of self-learning & application of newly learned tools & techniques * Ability to learn ...
Solid understanding of common manufacturing processes and machines including mills, lathes ... History of self-learning & application of newly learned tools & techniques * Ability to learn ...
You will bridge the gap between Geospatial Intelligence and Machine Learning to revolutionize our ... Drive the development of high-scale scheduling systems that manage battery life, maintenance cycles ...
You will bridge the gap between Geospatial Intelligence and Machine Learning to revolutionize our ... Drive the development of high-scale scheduling systems that manage battery life, maintenance cycles ...
Solid understanding of common manufacturing processes and machines including mills, lathes ... History of self-learning & application of newly learned tools & techniques * Ability to learn ...
Solid understanding of common manufacturing processes and machines including mills, lathes ... History of self-learning & application of newly learned tools & techniques * Ability to learn ...
Design Engineer II/Sr
Redmond, WA · On-site +1
$91.20K - $140.80K/yr
Experience with battery qualification and machine integration involving advanced battery ... Learning. * For more information on why Terex is a great place to work click on the link ! Careers ...
Design Engineer II/Sr
Redmond, WA · On-site +1
$91.20K - $140.80K/yr
Experience with battery qualification and machine integration involving advanced battery ... Learning. * For more information on why Terex is a great place to work click on the link ! Careers ...
Design Engineer II/Sr
Redmond, WA · On-site
$91.20K - $140.80K/yr
Experience with battery qualification and machine integration involving advanced battery ... Learning. * For more information on why Terex is a great place to work click on the link ! Careers ...
Design Engineer II/Sr
Redmond, WA · On-site
$91.20K - $140.80K/yr
Experience with battery qualification and machine integration involving advanced battery ... Learning. * For more information on why Terex is a great place to work click on the link ! Careers ...
... integrity, battery management, RF, Audio, sensors systems Ability to work in a fast-paced ... with machine learning algorithms and techniques. Experience with mechanical test systems and ...
... integrity, battery management, RF, Audio, sensors systems Ability to work in a fast-paced ... with machine learning algorithms and techniques. Experience with mechanical test systems and ...
... integrity, battery management, RF, Audio, sensors systems Ability to work in a fast-paced ... Experience with machine learning algorithms and techniques. Experience with mechanical test systems ...
Quick apply
... integrity, battery management, RF, Audio, sensors systems Ability to work in a fast-paced ... Experience with machine learning algorithms and techniques. Experience with mechanical test systems ...
... integrity, battery management, RF, Audio, sensors systems Ability to work in a fast-paced ... Experience with machine learning algorithms and techniques. Experience with mechanical test systems ...
... integrity, battery management, RF, Audio, sensors systems Ability to work in a fast-paced ... Experience with machine learning algorithms and techniques. Experience with mechanical test systems ...
Principal Software Engineer
Seattle, WA · On-site
$153.60K - $206K/yr
... Machine Learning, Costumer Research, and Business Innovation. In Redford, Michigan, the focus is on ... battery electric vehicles. The Testing and Regulatory Affairs Division in Ann Arbor and the ...
Principal Software Engineer
Seattle, WA · On-site
$153.60K - $206K/yr
... Machine Learning, Costumer Research, and Business Innovation. In Redford, Michigan, the focus is on ... battery electric vehicles. The Testing and Regulatory Affairs Division in Ann Arbor and the ...
Principal Software Engineer
$153.60K - $206K/yr
... Machine Learning, Costumer Research, and Business Innovation. In Redford, Michigan, the focus is on ... battery electric vehicles. The Testing and Regulatory Affairs Division in Ann Arbor and the ...
Principal Software Engineer
$153.60K - $206K/yr
... Machine Learning, Costumer Research, and Business Innovation. In Redford, Michigan, the focus is on ... battery electric vehicles. The Testing and Regulatory Affairs Division in Ann Arbor and the ...
DevOps Engineering Manager
Seattle, WA · Hybrid
$60 - $82.25/hr
... Machine Learning, Custumer Research, and Business Innovation. In Redford, Michigan, the focus is on ... battery electric vehicles. The Testing and Regulatory Affairs Division in Ann Arbor and the ...
DevOps Engineering Manager
Seattle, WA · Hybrid
$60 - $82.25/hr
... Machine Learning, Custumer Research, and Business Innovation. In Redford, Michigan, the focus is on ... battery electric vehicles. The Testing and Regulatory Affairs Division in Ann Arbor and the ...
DevOps Engineering Manager
Seattle, WA · On-site
$60 - $82.25/hr
... Machine Learning, Custumer Research, and Business Innovation. In Redford, Michigan, the focus is on ... battery electric vehicles. The Testing and Regulatory Affairs Division in Ann Arbor and the ...
DevOps Engineering Manager
Seattle, WA · On-site
$60 - $82.25/hr
... Machine Learning, Custumer Research, and Business Innovation. In Redford, Michigan, the focus is on ... battery electric vehicles. The Testing and Regulatory Affairs Division in Ann Arbor and the ...
Maintenance Mechanic III, Tukwila - Full Time
Tukwila, WA · On-site
$29.39 - $47.54/hr
Grow your career with continuous learning and leadership development. Plus, build community by ... Observes and listens to operating machines or equipment to diagnose machine malfunction and ...
Maintenance Mechanic III, Tukwila - Full Time
Tukwila, WA · On-site
$29.39 - $47.54/hr
Grow your career with continuous learning and leadership development. Plus, build community by ... Observes and listens to operating machines or equipment to diagnose machine malfunction and ...
Maintenance Mechanic III, Tukwila - Full Time
$29.39 - $47.54/hr
Grow your career with continuous learning and leadership development. Plus, build community by ... Observes and listens to operating machines or equipment to diagnose machine malfunction and ...
Maintenance Mechanic III, Tukwila - Full Time
$29.39 - $47.54/hr
Grow your career with continuous learning and leadership development. Plus, build community by ... Observes and listens to operating machines or equipment to diagnose machine malfunction and ...
Battery Machine Learning information
What are the key skills and qualifications needed to thrive as a Battery Machine Learning Engineer, and why are they important?
To thrive as a Battery Machine Learning Engineer, you need a strong background in machine learning, data analysis, and battery science, typically supported by a degree in engineering, computer science, or a related field. Familiarity with Python, TensorFlow or PyTorch, data processing tools, and battery management system (BMS) software is highly valued. Strong problem-solving skills, collaboration, and effective communication set standout professionals apart in this role. These skills are essential to develop accurate predictive models that optimize battery performance and longevity, driving innovation in energy storage technologies.
What are some common challenges faced by professionals working in Battery Machine Learning roles?
Professionals in Battery Machine Learning often encounter challenges related to limited or noisy datasets, as battery performance data can be expensive and time-consuming to collect. Additionally, integrating domain knowledge from electrochemistry with advanced machine learning techniques requires strong interdisciplinary collaboration. Staying up-to-date with both the latest AI methods and battery technology advancements is essential but can be demanding. Collaborating closely with researchers, engineers, and data scientists is a key aspect of the role, as projects frequently depend on cross-functional teamwork to translate predictive insights into practical battery innovations.
What is battery machine learning and what do professionals in this field do?
Battery machine learning involves the application of machine learning algorithms to analyze, predict, and optimize the performance, lifespan, and safety of batteries. Professionals in this field work on developing data-driven models to forecast battery degradation, enhance energy management systems, and improve battery design. Their work is crucial in sectors such as electric vehicles, renewable energy storage, and consumer electronics, where battery efficiency and reliability are key. By leveraging large datasets from battery usage and testing, they help accelerate innovation and reduce costs in battery technology.
What are popular job titles related to Battery Machine Learning jobs in Seattle, WA? For Battery Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Battery Machine Learning jobs in Seattle, WA look for? The top searched job categories for Battery Machine Learning jobs in Seattle, WA are:
Full-time
Posted 25 days ago
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
Job Summary:
Apple is seeking a Machine Learning Engineer to join their Energy Tech organization, which builds systems for managing energy flow and thermals in Apple devices. The role involves developing on-device control systems and creating models to optimize device behavior and efficiency.
Responsibilities:
• Dig into raw device logs and field data to build understanding of device behavior, find opportunities, and validate models
• Model device thermal and energy dynamics using lab and field data
• Develop and evaluate ML and control systems for on-device management
• Rapidly prototype end-to-end systems, from data analysis to device deployment, collaborating with firmware, hardware, and platform teams
Qualifications:
Required:
• MS or PhD in controls, robotics, electrical engineering, computer science, or other quantitative field - or BS with relevant experience
• Experience with model predictive control, optimal control, or reinforcement learning (sequential decision-making)
• Experience working from raw logs or sensor data - comfortable building analysis from scratch
• Strong Python skills; demonstrated ability to take a project from data exploration through working prototype
Preferred:
• Experience with thermal systems, battery management, or energy optimization
• Familiarity with embedded or resource-constrained environments
• Hands-on ML experience - training models, evaluating tradeoffs, iterating on approaches rather than applying off-the-shelf solutions
• Comfort with ambiguity - able to scope and drive work without detailed specifications
• Track record of shipping models or control systems into production, not just research
Company:
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software. Founded in 1976, the company is headquartered in Cupertino, USA, with a team of 10001+ employees. The company is currently Late Stage.
Apple is seeking a Machine Learning Engineer to join their Energy Tech organization, which builds systems for managing energy flow and thermals in Apple devices. The role involves developing on-device control systems and creating models to optimize device behavior and efficiency.
Responsibilities:
• Dig into raw device logs and field data to build understanding of device behavior, find opportunities, and validate models
• Model device thermal and energy dynamics using lab and field data
• Develop and evaluate ML and control systems for on-device management
• Rapidly prototype end-to-end systems, from data analysis to device deployment, collaborating with firmware, hardware, and platform teams
Qualifications:
Required:
• MS or PhD in controls, robotics, electrical engineering, computer science, or other quantitative field - or BS with relevant experience
• Experience with model predictive control, optimal control, or reinforcement learning (sequential decision-making)
• Experience working from raw logs or sensor data - comfortable building analysis from scratch
• Strong Python skills; demonstrated ability to take a project from data exploration through working prototype
Preferred:
• Experience with thermal systems, battery management, or energy optimization
• Familiarity with embedded or resource-constrained environments
• Hands-on ML experience - training models, evaluating tradeoffs, iterating on approaches rather than applying off-the-shelf solutions
• Comfort with ambiguity - able to scope and drive work without detailed specifications
• Track record of shipping models or control systems into production, not just research
Company:
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software. Founded in 1976, the company is headquartered in Cupertino, USA, with a team of 10001+ employees. The company is currently Late Stage.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976